Joint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Joint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Joint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Li Fang
Joint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Jiandong Li
Joint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Delft Institute of Applied Mathematics, Delft University of Technology, Delft, the Netherlands
Institute of Environment Sciences, Leiden University, Leiden, the Netherlands
Hong Liao
Joint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Viewed
Total article views: 2,743 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,964
686
93
2,743
203
111
185
HTML: 1,964
PDF: 686
XML: 93
Total: 2,743
Supplement: 203
BibTeX: 111
EndNote: 185
Views and downloads (calculated since 20 Dec 2023)
Cumulative views and downloads
(calculated since 20 Dec 2023)
Total article views: 1,697 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,415
242
40
1,697
98
54
101
HTML: 1,415
PDF: 242
XML: 40
Total: 1,697
Supplement: 98
BibTeX: 54
EndNote: 101
Views and downloads (calculated since 20 Nov 2024)
Cumulative views and downloads
(calculated since 20 Nov 2024)
Total article views: 1,046 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
549
444
53
1,046
105
57
84
HTML: 549
PDF: 444
XML: 53
Total: 1,046
Supplement: 105
BibTeX: 57
EndNote: 84
Views and downloads (calculated since 20 Dec 2023)
Cumulative views and downloads
(calculated since 20 Dec 2023)
Viewed (geographical distribution)
Total article views: 2,743 (including HTML, PDF, and XML)
Thereof 2,678 with geography defined
and 65 with unknown origin.
Total article views: 1,697 (including HTML, PDF, and XML)
Thereof 1,635 with geography defined
and 62 with unknown origin.
Total article views: 1,046 (including HTML, PDF, and XML)
Thereof 1,043 with geography defined
and 3 with unknown origin.
The ensemble Kalman filter (EnKF) improves dust storm forecasts but faces challenges with position errors. The valid time shifting EnKF (VTS-EnKF) addresses this by adjusting for position errors, enhancing accuracy in forecasting dust storms, as proven in tests on 2021 events, even with smaller ensembles and time intervals.
The ensemble Kalman filter (EnKF) improves dust storm forecasts but faces challenges with...
